TY - JOUR
T1 - Analysis of target detection performance for wireless sensor networks
AU - Cao, Qing
AU - Yan, Ting
AU - Stankovic, John
AU - Abdelzaher, Tarek
PY - 2005
Y1 - 2005
N2 - In surveillance and tracking applications, wireless sensor nodes collectively monitor the existence of intruding targets. In this paper, we derive closed form results for predicting surveillance performance attributes, represented by detection probability and average detection delay of intruding targets, based on tunable system parameters, represented by node density and sleep duty cycle. The results apply to both stationary and mobile targets, and shed light on the fundamental connection between aspects of sensing quality and deployment choices. We demonstrate that our results are robust to realistic sensing models, which are proposed based on experimental measurements of passive infrared sensors. We also validate the correctness of our results through extensive simulations.
AB - In surveillance and tracking applications, wireless sensor nodes collectively monitor the existence of intruding targets. In this paper, we derive closed form results for predicting surveillance performance attributes, represented by detection probability and average detection delay of intruding targets, based on tunable system parameters, represented by node density and sleep duty cycle. The results apply to both stationary and mobile targets, and shed light on the fundamental connection between aspects of sensing quality and deployment choices. We demonstrate that our results are robust to realistic sensing models, which are proposed based on experimental measurements of passive infrared sensors. We also validate the correctness of our results through extensive simulations.
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U2 - 10.1007/11502593_22
DO - 10.1007/11502593_22
M3 - Conference article
AN - SCOPUS:26444583385
VL - 3560
SP - 276
EP - 292
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SN - 0302-9743
T2 - First IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2005
Y2 - 30 June 2005 through 1 July 2005
ER -